ARTIFICIAL INTELLIGENCE FUNDAMENTALS

CSE2AIF

2021

Credit points: 15

Subject outline

This subject covers the fundamental areas of Artificial Intelligence, focussing on knowledge representation and search. Main topics include historical foundations and applications areas; state-space search; game-playing; knowledge representation languages including predicate calculus, semantic networks, conceptual graphs and frames; rule-based expert systems; and an introduction to symbolic and connectionist machine learning.

SchoolEngineering and Mathematical Sciences

Credit points15

Subject Co-ordinatorChris Taylor

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 2 - UG

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesCSE1IOO

Co-requisitesN/A

Incompatible subjectsCSE4FAI

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Learning resources

Artificial intelligence: A modern approach.

Resource TypeBook

Resource RequirementRecommended

AuthorRussel, S. and Norvig, P.

YearN/A

Edition/Volume2ND EDN

PublisherPRENTICE-HALL

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Artificial intelligence: structures and strategies for complex problem solving.

Resource TypeBook

Resource RequirementPrescribed

AuthorLuger, G.

YearN/A

Edition/Volume6TH EDN

PublisherADDISON WESLEY

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Describe broadly the scope of the field of Artificial Intelligence.
02. Devise appropriate representations for state space search, and other search problems including two-player games.
03. Represent knowledge using predicate calculus, and manually apply resolution refutation theorem-proving.
04. Represent simple situations using a variety of other discipline-specific knowledge representation schemes including conceptual graphs and frames.
05. Construct simple expert systems using an expert system shell.
06. Write simple programs using the LISP and PROLOG computer programming languages.

Subject options

Select to view your study options…

Start date between: and    Key dates

On-Line, 2021, Semester 1, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorChris Taylor

Class requirements

Computer LaboratoryWeek: 11 - 22
One 2.00 hours computer laboratory per week on weekdays during the day from week 11 to week 22 and delivered via online.

Computer LaboratoryWeek: 30 - 42
One 2.00 hours computer laboratory per week on weekdays during the day from week 30 to week 42 and delivered via online.

LectureWeek: 11 - 22
Two 1.00 hour lecture per week on weekdays during the day from week 11 to week 22 and delivered via online.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Assignment 1 (equiv to 500 words)

N/AAssignmentIndividualNo10 SILO2, SILO6

Assignment 2 (equiv to 1000 words)

N/AAssignmentIndividualNo20 SILO2, SILO3, SILO5, SILO6

Final centrally scheduled exam (4 hours) (3000 word equivalent)

N/ACentral examIndividualNo70 SILO1, SILO2, SILO3, SILO4, SILO5, SILO6

Melbourne (Bundoora), 2021, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorChris Taylor

Class requirements

Computer LaboratoryWeek: 31 - 42
One 2.00 hours computer laboratory per week on weekdays during the day from week 31 to week 42 and delivered via face-to-face.

LectureWeek: 30 - 42
Two 1.00 hour lecture per week on weekdays during the day from week 30 to week 42 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Assignment 1 (equiv to 500 words)

N/AAssignmentIndividualNo10 SILO2, SILO6

Assignment 2 (equiv to 1000 words)

N/AAssignmentIndividualNo20 SILO2, SILO3, SILO5, SILO6

One 3-hour examination

N/ACentral examIndividualNo70 SILO1, SILO2, SILO3, SILO4, SILO5, SILO6

Dandenong (Chisholm Institute), 2021, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorChris Taylor

Class requirements

Computer LaboratoryWeek: 30 - 42
One 2.00 hours computer laboratory per week on weekdays during the day from week 30 to week 42 and delivered via face-to-face.

LectureWeek: 30 - 42
Two 1.00 hour lecture per week on weekdays during the day from week 30 to week 42 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Assignment 1 (equiv to 500 words)

N/AAssignmentIndividualNo10 SILO2, SILO6

Assignment 2 (equiv to 1000 words)

N/AAssignmentIndividualNo20 SILO2, SILO3, SILO5, SILO6

One 3-hour examination

N/ACentral examIndividualNo70 SILO1, SILO2, SILO3, SILO4, SILO5, SILO6

On-Line, 2021, Semester 2, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorChris Taylor

Class requirements

LectureWeek: 30 - 42
Two 1.00 hour lecture per week on weekdays during the day from week 30 to week 42 and delivered via online.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Assignment 1 (equiv to 500 words)

N/AAssignmentIndividualNo10 SILO2, SILO6

Assignment 2 (equiv to 1000 words)

N/AAssignmentIndividualNo20 SILO2, SILO3, SILO5, SILO6

Final centrally scheduled exam (4 hours) (3000 word equivalent)

N/ACentral examIndividualNo70 SILO1, SILO2, SILO3, SILO4, SILO5, SILO6